Dynamic Simulation-Guided Design of Tumbling Magnetic Microrobots
Jiayin Xie, Chenghao Bi, David J. Cappelleri, Nilanjan Chakraborty

TL;DR
This paper introduces a dynamic simulation approach for designing tumbling magnetic microrobots, enabling accurate prediction of their motion and performance, which accelerates development and optimization at small scales.
Contribution
The paper develops a novel simulation method that accounts for intermittent and non-point contact, improving the design process of microrobots by integrating experimental validation and manufacturing limitations.
Findings
Simulation accurately predicts microrobot velocity and trajectory.
Optimized shapes enhance locomotion performance.
Simulation incorporates manufacturing errors, matching experimental results.
Abstract
Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they move over a substrate. At smaller length scales, the influence of adhesion and friction, which scales with surface area, becomes more pronounced. Thus, rigid body dynamic simulators, which implicitly assume that contact between two bodies can be modeled as point contact are not suitable. In this paper, we present techniques for simulating the motion of microrobots where there can be intermittent and non-point contact between the robot and the substrate. We use these techniques to study the motion of tumbling microrobots of different shapes and select shapes that are optimal for improving locomotion performance. Simulation results are verified using…
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Taxonomy
TopicsMicro and Nano Robotics · Modular Robots and Swarm Intelligence · Soft Robotics and Applications
